Results 281 to 290 of about 980,735 (314)
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A Factorization Approach for Activity Recognition
2003 Conference on Computer Vision and Pattern Recognition Workshop, 2003Understanding activities arising out of the interactions of a configuration of moving objects is an important problem in video understanding, with applications in surveillance and monitoring. A special situation is when the objects are small enough to be represented as points on a 2D plane. In this paper, we introduce a novel method of representing the
Amit K. Roy-Chowdhury, Rama Chellappa
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Proceedings of the AAAI Conference on Artificial Intelligence
This paper outlines a proposal regarding the use of machine learning, specifically a long-short term model, to increase the military’s effectiveness and safety protocols. The approach is to collect data from weapons training and apply it to a model that can distinguish between weapon activities.
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This paper outlines a proposal regarding the use of machine learning, specifically a long-short term model, to increase the military’s effectiveness and safety protocols. The approach is to collect data from weapons training and apply it to a model that can distinguish between weapon activities.
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Kinesiologic electromyography for activity recognition
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013This paper presents a wearable system based on kinesiologic electromyography that recognizes the user activity in real time. In particular, the system recognizes the following five activities: "walking", "running", "cycling", "sitting" and "standing". We conducted a study in order to select the opportune muscles and sensors placement.
Maurizio Caon +5 more
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Hierarchical Models for Activity Recognition
2006 IEEE Workshop on Multimedia Signal Processing, 2006In this paper we propose a hierarchical dynamic Bayesian network to jointly recognize the activity and environment of a person. The hierarchical nature of the model allows us to implicitly learn data driven decompositions of complex activities into simpler sub-activities.
Amarnag Subramanya +3 more
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Simultaneous Tracking and Activity Recognition
2011 IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011Many tracking problems involve several distinct objects interacting with each other. We develop a framework that takes into account interactions between objects allowing the recognition of complex activities. In contrast to classic approaches that consider distinct phases of tracking and activity recognition, our framework performs these two tasks ...
Cristina E. Manfredotti +3 more
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Active rangefinding and recognition with Cubicscope
1996An active rangefinding using the Cubicscope is described in the paper. The following topics are reviewed: the principle of the Cubicscope, 3-D shape reconstruction by multiple range images obtained from actively selected viewpoints, high-speed edge detection from range image, and polyhedral object recognition by adaptive viewpoint selection.
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Deep Learning for Sensor-based Human Activity Recognition
ACM Computing Surveys, 2022Kaixuan Chen, Dalin Zhang, Lina Yao
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A Survey on Deep Learning for Human Activity Recognition
ACM Computing Surveys, 2022Fuqiang Gu +2 more
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